• Lead technical discovery with customers to understand workflows, constraints, data realities, and success criteria—and translate that into a clear technical plan. • Architect end-to-end AI systems (GenAI + traditional ML when needed), spanning data ingestion, retrieval, orchestration, evaluation, deployment, and UX. • Design and deliver rapid prototypes that make abstract ideas concrete and de-risk key decisions (cost/latency/reliability, integration feasibility, quality thresholds). • Develop reference architectures and technical frameworks that demonstrate what’s possible with current and emerging AI technologies. • Guide clients through the AI landscape—capabilities, limitations, tradeoffs, and what it takes to operate AI systems in production over time. • Partner with sales teams to translate technical concepts into clear value propositions, proposals, business cases, and technical presentations. • Define technical requirements and scalable architecture patterns for production-grade systems (security, governance, observability, evaluation, and reliability). • Collaborate with fulfillment to ensure solutions align with customer needs and leverage Tribe AI’s capabilities—and help create smooth handoffs from pre-sales to delivery. • Stay current on frontier developments, bringing in SMEs from the Tribe network and collaborating with partners (including OpenAI/Anthropic) to keep customers ahead of the curve. • Act as a trusted advisor to technical and executive stakeholders navigating AI implementation and adoption challenges.